Resource pair groups for channel state information in multi-transmit receive point deployments

ABSTRACT

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment UE) may identify a plurality of channel state information (CSI) reference signal (RS) resource groups, wherein each CSI RS resource group, of the plurality of CSI RS resource groups, includes one or more CSI RS resources; identify a plurality of hypotheses; identify a plurality of hypothesis groups, wherein each hypothesis group, of the plurality of hypothesis groups, includes one or more hypotheses rom the plurality of hypotheses; and report, to one or more transmit receive points (TRPs) in a multi-TRP deployment and for the lurality of hypothesis groups, a corresponding plurality of CSIs, wherein each CSI, of the corresponding plurality of CSIs, corresponds to at least one hypothesis of a respective hypothesis group of the plurality of hypothesis groups. Numerous other aspects are provided.

FIELD OF THE DISCLOSURE

Aspects of the present disclosure generally relate to wirelesscommunication and to techniques and apparatuses for resource pair groupsfor channel state information in multi-transmit receive pointdeployments.

BACKGROUND

Wireless communication systems are widely deployed to provide varioustelecommunication services such as telephony, video, data, messaging,and broadcasts. Typical wireless communication systems may employmultiple-access technologies capable of supporting communication withmultiple users by sharing available system resources (e.g., bandwidth,transmit power, and/or the like). Examples of such multiple-accesstechnologies include code division multiple access (CDMA) systems, timedivision multiple access (TDMA) systems, frequency-division multipleaccess (FDMA) systems, orthogonal frequency-division multiple access(OFDMA) systems, single-carrier frequency-division multiple access(SC-FDMA) systems, time division synchronous code division multipleaccess (TD-SCDMA) systems, and Long Term Evolution (LTE).LTE/LTE-Advanced is a set of enhancements to the Universal MobileTelecommunications System (UMTS) mobile standard promulgated by theThird Generation Partnership Project (3GPP).

A wireless communication network may include a number of base stations(BSs) that can support communication for a number of user equipment(UEs). A user equipment (UE) may communicate with a base station (BS)via the downlink and uplink. The downlink (or forward link) refers tothe communication link from the BS to the UE, and the uplink (or reverselink) refers to the communication link from the UE to the BS. As will bedescribed in more detail herein, a BS may be referred to as a Node B, agNB, an access point (AP), a radio head, a transmit receive point (TRP),a New Radio (NR) BS, a 5G Node B, and/or the like.

The above multiple access technologies have been adopted in varioustelecommunication standards to provide a common protocol that enablesdifferent user equipment to communicate on a municipal, national,regional, and even global level. New Radio (NR), which may also bereferred to as 5G, is a set of enhancements to the LTE mobile standardpromulgated by the Third Generation Partnership Project (3GPP). NR isdesigned to better support mobile broadband Internet access by improvingspectral efficiency, lowering costs, improving services, making use ofnew spectrum, and better integrating with other open standards usingorthogonal frequency division multiplexing (OFDM) with a cyclic prefix(CP) (CP-OFDM) on the downlink (DL), using CP-OFDM and/or SC-FDM (e.g.,also known as discrete Fourier transform spread OFDM (DFT-s-OFDM)) onthe uplink (UL), as well as supporting beamforming, multiple-inputmultiple-output (MIMO) antenna technology, and carrier aggregation.However, as the demand for mobile broadband access continues toincrease, there exists a need for further improvements in LTE and NRtechnologies. Preferably, these improvements should be applicable toother multiple access technologies and the telecommunication standardsthat employ these technologies.

SUMMARY

In some aspects, a method of wireless communication, performed by a userequipment (UE), may include identifying a plurality of channel stateinformation (CSI) reference signal (RS) resource groups, wherein eachCSI RS resource group, of the plurality of CSI RS resource groups,includes one or more CSI RS resources; identifying, based at least inpart on the plurality of CSI RS resource groups, a plurality ofhypotheses; identifying, based at least in part on the plurality of CSIRS resource groups and the plurality of hypotheses, a plurality ofhypothesis groups, wherein each hypothesis group, of the plurality ofhypothesis groups, includes one or more hypotheses from the plurality ofhypotheses; and reporting, to one or more transmit receive points (TRPs)in a multi-TRP deployment and for the plurality of hypothesis groups, acorresponding plurality of CSIs, wherein each CSI, of the correspondingplurality of CSIs, corresponds to at least one hypothesis of arespective hypothesis group of the plurality of hypothesis groups.

In some aspects, a UE for wireless communication may include a memoryand one or more processors operatively coupled to the memory. The memoryand the one or more processors may be configured to identify a pluralityof CSI RS resource groups, wherein each CSI RS resource group, of theplurality of CSI RS resource groups, includes one or more CSI RSresources; identify, based at least in part on the plurality of CSI RSresource groups, a plurality of hypotheses; identify, based at least inpart on the plurality of CSI RS resource groups and the plurality ofhypotheses, a plurality of hypothesis groups, wherein each hypothesisgroup, of the plurality of hypothesis groups, includes one or morehypotheses from the plurality of hypotheses; and report, to one or moreTRPs in a multi-TRP deployment and for the plurality of hypothesisgroups, a corresponding plurality of CSIs, wherein each CSI, of thecorresponding plurality of CSIs, corresponds to at least one hypothesisof a respective hypothesis group of the plurality of hypothesis groups.

In some aspects, a non-transitory computer-readable medium may store oneor more instructions for wireless communication. The one or moreinstructions, when executed by one or more processors of a UE, may causethe one or more processors to identify a plurality of CSI RS resourcegroups, wherein each CSI RS resource group, of the plurality of CSI RSresource groups, includes one or more CSI RS resources; identify, basedat least in part on the plurality of CSI RS resource groups, a pluralityof hypotheses; identify, based at least in part on the plurality of CSIRS resource groups and the plurality of hypotheses, a plurality ofhypothesis groups, wherein each hypothesis group, of the plurality ofhypothesis groups, includes one or more hypotheses from the plurality ofhypotheses; and report, to one or more TRPs in a multi-TRP deploymentand for the plurality of hypothesis groups, a corresponding plurality ofCSIs, wherein each CSI, of the corresponding plurality of CSIs,corresponds to at least one hypothesis of a respective hypothesis groupof the plurality of hypothesis groups.

In some aspects, an apparatus for wireless communication may includemeans for identifying a plurality of CSI RS resource groups, whereineach CSI RS resource group, of the plurality of CSI RS resource groups,includes one or more CSI RS resources; means for identifying, based atleast in part on the plurality of CSI RS resource groups, a plurality ofhypotheses; means for identifying, based at least in part on theplurality of CSI RS resource groups and the plurality of hypotheses, aplurality of hypothesis groups, wherein each hypothesis group, of theplurality of hypothesis groups, includes one or more hypotheses from theplurality of hypotheses; and means for reporting, to one or more TRPs ina multi-TRP deployment and for the plurality of hypothesis groups, acorresponding plurality of CSIs, wherein each CSI, of the correspondingplurality of CSIs, corresponds to at least one hypothesis of arespective hypothesis group of the plurality of hypothesis groups.

Aspects generally include a method, apparatus, system, computer programproduct, non-transitory computer-readable medium, user equipment, basestation, wireless communication device, and/or processing system assubstantially described herein with reference to and as illustrated bythe drawings and specification.

The foregoing has outlined rather broadly the features and technicaladvantages of examples according to the disclosure in order that thedetailed description that follows may be better understood. Additionalfeatures and advantages will be described hereinafter. The conceptionand specific examples disclosed may be readily utilized as a basis formodifying or designing other structures for carrying out the samepurposes of the present disclosure. Such equivalent constructions do notdepart from the scope of the appended claims. Characteristics of theconcepts disclosed herein, both their organization and method ofoperation, together with associated advantages will be better understoodfrom the following description when considered in connection with theaccompanying figures. Each of the figures is provided for the purposesof illustration and description, and not as a definition of the limitsof the claims.

BRIEF DESCRIPTION OF THE DRAWINGS

So that the above-recited features of the present disclosure can beunderstood in detail, a more particular description, briefly summarizedabove, may be had by reference to aspects, some of which are illustratedin the appended drawings. It is to be noted, however, that the appendeddrawings illustrate only certain typical aspects of this disclosure andare therefore not to be considered limiting of its scope, for thedescription may admit to other equally effective aspects. The samereference numbers in different drawings may identify the same or similarelements.

FIG. 1 is a block diagram conceptually illustrating an example of awireless communication network, in accordance with various aspects ofthe present disclosure.

FIG. 2 is a block diagram conceptually illustrating an example of a basestation in communication with a UE in a wireless communication network,in accordance with various aspects of the present disclosure.

FIG. 3 is a diagram illustrating an example of resource pair groups forchannel state information in multi-transmit receive point deployments,in accordance with various aspects of the present disclosure.

FIG. 4 is a diagram illustrating an example process performed, forexample, by a user equipment, in accordance with various aspects of thepresent disclosure.

DETAILED DESCRIPTION

Various aspects of the disclosure are described more fully hereinafterwith reference to the accompanying drawings. This disclosure may,however, be embodied in many different forms and should not be construedas limited to any specific structure or function presented throughoutthis disclosure. Rather, these aspects are provided so that thisdisclosure will be thorough and complete, and will fully convey thescope of the disclosure to those skilled in the art. Based on theteachings herein one skilled in the art should appreciate that the scopeof the disclosure is intended to cover any aspect of the disclosuredisclosed herein, whether implemented independently of or combined withany other aspect of the disclosure. For example, an apparatus may beimplemented or a method may be practiced using any number of the aspectsset forth herein. In addition, the scope of the disclosure is intendedto cover such an apparatus or method which is practiced using otherstructure, functionality, or structure and functionality in addition toor other than the various aspects of the disclosure set forth herein. Itshould be understood that any aspect of the disclosure disclosed hereinmay be embodied by one or more elements of a claim.

Several aspects of telecommunication systems will now be presented withreference to various apparatuses and techniques. These apparatuses andtechniques will be described in the following detailed description andillustrated in the accompanying drawings by various blocks, modules,components, circuits, steps, processes, algorithms, and/or the like(collectively referred to as “elements”). These elements may beimplemented using hardware, software, or combinations thereof. Whethersuch elements are implemented as hardware or software depends upon theparticular application and design constraints imposed on the overallsystem.

It should be noted that while aspects may be described herein usingterminology commonly associated with 3G and/or 4G wireless technologies,aspects of the present disclosure can be applied in othergeneration-based communication systems, such as 5G and later, includingNR technologies.

FIG. 1 is a diagram illustrating a wireless network 100 in which aspectsof the present disclosure may be practiced. The wireless network 100 maybe an LTE network or some other wireless network, such as a 5G or NRnetwork. The wireless network 100 may include a number of BSs 110 (shownas BS 110 a, BS 110 b, BS 110 c, and BS 110 d) and other networkentities. A BS is an entity that communicates with user equipment (UEs)and may also be referred to as a base station, a NR BS, a Node B, a gNB,a 5G node B (NB), an access point, a transmit receive point (TRP),and/or the like. Each BS may provide communication coverage for aparticular geographic area. In 3GPP, the term “cell” can refer to acoverage area of a BS and/or a BS subsystem serving this coverage area,depending on the context in which the term is used.

ABS may provide communication coverage for a macro cell, a pico cell, afemto cell, and/or another type of cell. A macro cell may cover arelatively large geographic area (e.g., several kilometers in radius)and may allow unrestricted access by UEs with service subscription. Apico cell may cover a relatively small geographic area and may allowunrestricted access by UEs with service subscription. A femto cell maycover a relatively small geographic area (e.g., a home) and may allowrestricted access by UEs having association with the femto cell (e.g.,UEs in a closed subscriber group (CSG)). A BS for a macro cell may bereferred to as a macro BS. A BS for a pico cell may be referred to as apico BS. ABS for a femto cell may be referred to as a femto BS or a homeBS. In the example shown in FIG. 1 , a BS 110 a may be a macro BS for amacro cell 102 a, a BS 110 b may be a pico BS for a pico cell 102 b, anda BS 110 c may be a femto BS for a femto cell 102 c. ABS may support oneor multiple (e.g., three) cells. The terms “eNB”, “base station”, “NRBS”, “gNB”, “TRP”, “AP”, “node B”, “5G NB”, and “cell” may be usedinterchangeably herein.

In some aspects, a cell may not necessarily be stationary, and thegeographic area of the cell may move according to the location of amobile BS. In some aspects, the BSs may be interconnected to one anotherand/or to one or more other BSs or network nodes (not shown) in thewireless network 100 through various types of backhaul interfaces suchas a direct physical connection, a virtual network, and/or the likeusing any suitable transport network.

Wireless network 100 may also include relay stations. A relay station isan entity that can receive a transmission of data from an upstreamstation (e.g., a BS or a UE) and send a transmission of the data to adownstream station (e.g., a UE or a BS). A relay station may also be aUE that can relay transmissions for other UEs. In the example shown inFIG. 1 , a relay station 110 d may communicate with macro BS 110 a and aUE 120 d in order to facilitate communication between BS 110 a and UE120 d. A relay station may also be referred to as a relay BS, a relaybase station, a relay, and/or the like.

Wireless network 100 may be a heterogeneous network that includes BSs ofdifferent types, e.g., macro BSs, pico BSs, femto BSs, relay BSs, and/orthe like. These different types of BSs may have different transmit powerlevels, different coverage areas, and different impacts on interferencein wireless network 100. For example, macro BSs may have a high transmitpower level (e.g., 5 to 40 Watts) whereas pico BSs, femto BSs, and relayBSs may have lower transmit power levels (e.g., 0.1 to 2 Watts).

A network controller 130 may couple to a set of BSs and may providecoordination and control for these BSs. Network controller 130 maycommunicate with the BSs via a backhaul. The BSs may also communicatewith one another, e.g., directly or indirectly via a wireless orwireline backhaul.

UEs 120 (e.g., 120 a, 120 b, 120 c) may be dispersed throughout wirelessnetwork 100, and each UE may be stationary or mobile. A UE may also bereferred to as an access terminal, a terminal, a mobile station, asubscriber unit, a station, and/or the like. A UE may be a cellularphone (e.g., a smart phone), a personal digital assistant (PDA), awireless modem, a wireless communication device, a handheld device, alaptop computer, a cordless phone, a wireless local loop (WLL) station,a tablet, a camera, a gaming device, a netbook, a smartbook, anultrabook, a medical device or equipment, biometric sensors/devices,wearable devices (smart watches, smart clothing, smart glasses, smartwrist bands, smart jewelry (e.g., smart ring, smart bracelet)), anentertainment device (e.g., a music or video device, or a satelliteradio), a vehicular component or sensor, smart meters/sensors,industrial manufacturing equipment, a global positioning system device,or any other suitable device that is configured to communicate via awireless or wired medium.

Some UEs may be considered machine-type communication (MTC) or evolvedor enhanced machine-type communication (eMTC) UEs. MTC and eMTC UEsinclude, for example, robots, drones, remote devices, sensors, meters,monitors, location tags, and/or the like, that may communicate with abase station, another device (e.g., remote device), or some otherentity. A wireless node may provide, for example, connectivity for or toa network (e.g., a wide area network such as Internet or a cellularnetwork) via a wired or wireless communication link. Some UEs may beconsidered Internet-of-Things (IoT) devices, and/or may be implementedas NB-IoT (narrowband internet of things) devices. Some UEs may beconsidered a Customer Premises Equipment (CPE). UE 120 may be includedinside a housing that houses components of UE 120, such as processorcomponents, memory components, and/or the like.

In general, any number of wireless networks may be deployed in a givengeographic area. Each wireless network may support a particular radioaccess technology (RAT) and may operate on one or more frequencies. ARAT may also be referred to as a radio technology, an air interface,and/or the like. A frequency may also be referred to as a carrier, afrequency channel, and/or the like. Each frequency may support a singleRAT in a given geographic area in order to avoid interference betweenwireless networks of different RATs. In some cases, NR or 5G RATnetworks may be deployed.

In some aspects, two or more UEs 120 (e.g., shown as UE 120 a and UE 120e) may communicate directly using one or more sidelink channels (e.g.,without using a base station 110 as an intermediary to communicate withone another). For example, the UEs 120 may communicate usingpeer-to-peer (P2P) communications, device-to-device (D2D)communications, a vehicle-to-everything (V2X) protocol (e.g., which mayinclude a vehicle-to-vehicle (V2V) protocol, a vehicle-to-infrastructure(V2I) protocol, and/or the like), a mesh network, and/or the like. Inthis case, the UE 120 may perform scheduling operations, resourceselection operations, and/or other operations described elsewhere hereinas being performed by the base station 110.

As indicated above, FIG. 1 is provided as an example. Other examples maydiffer from what is described with regard to FIG. 1 .

FIG. 2 shows a block diagram of a design 200 of base station 110 and UE120, which may be one of the base stations and one of the UEs in FIG. 1. Base station 110 may be equipped with T antennas 234 a through 234 t,and UE 120 may be equipped with R antennas 252 a through 252 r, where ingeneral T≥1 and R≥1.

At base station 110, a transmit processor 220 may receive data from adata source 212 for one or more UEs, select one or more modulation andcoding schemes (MCS) for each UE based at least in part on channelquality indicators (CQIs) received from the UE, process (e.g., encodeand modulate) the data for each UE based at least in part on the MCS(s)selected for the UE, and provide data symbols for all UEs. Transmitprocessor 220 may also process system information (e.g., for semi-staticresource partitioning information (SRPI) and/or the like) and controlinformation (e.g., CQI requests, grants, upper layer signaling, and/orthe like) and provide overhead symbols and control symbols. Transmitprocessor 220 may also generate reference symbols for reference signals(e.g., the cell-specific reference signal (CRS)) and synchronizationsignals (e.g., the primary synchronization signal (PSS) and secondarysynchronization signal (SSS)). A transmit (TX) multiple-inputmultiple-output (MIMO) processor 230 may perform spatial processing(e.g., precoding) on the data symbols, the control symbols, the overheadsymbols, and/or the reference symbols, if applicable, and may provide Toutput symbol streams to T modulators (MODs) 232 a through 232 t. Eachmodulator 232 may process a respective output symbol stream (e.g., forOFDM and/or the like) to obtain an output sample stream. Each modulator232 may further process (e.g., convert to analog, amplify, filter, andupconvert) the output sample stream to obtain a downlink signal. Tdownlink signals from modulators 232 a through 232 t may be transmittedvia T antennas 234 a through 234 t, respectively. According to variousaspects described in more detail below, the synchronization signals canbe generated with location encoding to convey additional information.

At UE 120, antennas 252 a through 252 r may receive the downlink signalsfrom base station 110 and/or other base stations and may providereceived signals to demodulators (DEMODs) 254 a through 254 r,respectively. Each demodulator 254 may condition (e.g., filter, amplify,downconvert, and digitize) a received signal to obtain input samples.Each demodulator 254 may further process the input samples (e.g., forOFDM and/or the like) to obtain received symbols. A MIMO detector 256may obtain received symbols from all R demodulators 254 a through 254 r,perform MIMO detection on the received symbols if applicable, andprovide detected symbols. A receive processor 258 may process (e.g.,demodulate and decode) the detected symbols, provide decoded data for UE120 to a data sink 260, and provide decoded control information andsystem information to a controller/processor 280. A channel processormay determine reference signal received power (RSRP), received signalstrength indicator (RSSI), reference signal received quality (RSRQ),channel quality indicator (CQI), and/or the like. In some aspects, oneor more components of UE 120 may be included in a housing.

On the uplink, at UE 120, a transmit processor 264 may receive andprocess data from a data source 262 and control information (e.g., forreports comprising RSRP, RSSI, RSRQ, CQI, and/or the like) fromcontroller/processor 280. Transmit processor 264 may also generatereference symbols for one or more reference signals. The symbols fromtransmit processor 264 may be precoded by a TX MIMO processor 266 ifapplicable, further processed by modulators 254 a through 254 r (e.g.,for DFT-s-OFDM, CP-OFDM, and/or the like), and transmitted to basestation 110. At base station 110, the uplink signals from UE 120 andother UEs may be received by antennas 234, processed by demodulators232, detected by a MIMO detector 236 if applicable, and furtherprocessed by a receive processor 238 to obtain decoded data and controlinformation sent by UE 120. Receive processor 238 may provide thedecoded data to a data sink 239 and the decoded control information tocontroller/processor 240. Base station 110 may include communicationunit 244 and communicate to network controller 130 via communicationunit 244. Network controller 130 may include communication unit 294,controller/processor 290, and memory 292.

Controller/processor 240 of base station 110, controller/processor 280of UE 120, and/or any other component(s) of FIG. 2 may perform one ormore techniques associated with resource pair groups for channel stateinformation (CSI) in multi-TRP deployments, as described in more detailelsewhere herein. For example, controller/processor 240 of base station110, controller/processor 280 of UE 120, and/or any other component(s)of FIG. 2 may perform or direct operations of, for example, process 400of FIG. 4 and/or other processes as described herein. Memories 242 and282 may store data and program codes for base station 110 and UE 120,respectively. In some aspects, memory 242 and/or memory 282 may comprisea non-transitory computer-readable medium storing one or moreinstructions for wireless communication. For example, the one or moreinstructions, when executed by one or more processors of the basestation 110 and/or the UE 120, may perform or direct operations of, forexample, process 400 of FIG. 4 and/or other processes as describedherein. A scheduler 246 may schedule UEs for data transmission on thedownlink and/or uplink.

In some aspects, UE 120 may include means for identifying a plurality ofCSI reference signal (RS) resource groups, wherein each CSI RS resourcegroup, of the plurality of CSI RS resource groups, includes one or moreCSI RS resources, means for identifying, based at least in part on theplurality of CSI RS resource groups, a plurality of hypotheses, meansfor identifying, based at least in part on the plurality of CSI RSresource groups and the plurality of hypotheses, a plurality ofhypothesis groups, wherein each hypothesis group, of the plurality ofhypothesis groups, includes one or more hypotheses from the plurality ofhypotheses, means for reporting, to one or more TRPs in a multi-TRPdeployment and for the plurality of hypothesis groups, a correspondingplurality of CSIs, wherein each CSI, of the corresponding plurality ofCSIs, corresponds to at least one hypothesis of a respective hypothesisgroup of the plurality of hypothesis groups, and/or the like. In someaspects, such means may include one or more components of UE 120described in connection with FIG. 2 , such as controller/processor 280,transmit processor 264, TX MIMO processor 266, MOD 254, antenna 252,DEMOD 254, MIMO detector 256, receive processor 258, and/or the like.

As indicated above, FIG. 2 is provided as an example. Other examples maydiffer from what is described with regard to FIG. 2 .

In some communications systems, a UE may communicate in a multi-TRPdeployment. For example, the UE may communicate with a first TRP, asecond TRP, and/or the like, which may enable improved throughput,reliability, coverage, and/or the like. The UE may provide a channelstate information (CSI) report. The CSI report may be a periodic, asemi-persistent, or an aperiodic CSI report. The CSI report may be basedat least in part on CSI reference signal (RS) resources and/or CSIinterference measurement (IM) resources that are configured for the UE.The CSI may include a Channel Quality Indicator (CQI), a precodingmatrix indicator (PMI), a CSI RS resource indicator (CRI), asynchronization signal (SS)/physical broadcast channel (PBCH) BlockResource indicator (SSBRI), a layer indicator (LI), a rank indicator(RI) and/or a layer 1 reference signal received power (L1-RSRP)indicator.

As part of CSI report, the UE may also provide a CRI to identify CSI RSresource that are used for the reported CSI. For example, the UE mayprovide a CRI, in connection with CSI feedback, that identifies achannel measurement resource (CMR). Each value of CRI (e.g., a CRIcodepoint) identifies a hypothesis for which UE reports a CSI. When a UEis connected to a plurality of TRPs, the UE may support a single CSIfrom a single TRP, but may not support non-coherent joint transmission(NCJT) operation. For example, the UE may receive independent CSIreports from each TRP via a separate report configuration. Similarly,the UE may use dynamic point selection for the CSI reports, whereby eachidentified resource is associated with a particular transmissionconfiguration indicator (TCI) state corresponding to a particular TRP.However, such configurations may result in relatively static channeland/or interference hypothesis evaluation.

A new CSI framework may enable the UE to select a report correspondingto a preferred TRP or a preferred TRP pair. In such a CSI framework,report configuration may identify one or more single-TCI state (e.g.single-TRP) hypotheses each corresponding to a single CSI-Rs resource,or one or more NCJT (e.g. multi-TRP) hypotheses corresponding to aCSI-RS resource pair for channel measurement, and/or the like. In somecases, each resource may be associated with a single TCI state. The CRImay include a first indicator to identify single TRP report (e.g., CRIvalues of 0 or 1 corresponding to CSI-RS resource 0 or CSI-RS resource1, respectively) and a second indicator to identify multi-TRP report(e.g., a CRI value of 2 corresponding to both CSI-RS resource 0 andCSI-RS resource 1).

Some aspects described herein enable resource and hypothesis groupingfor multi-TRP CSI. For example, a UE may identify multiple groups of CSIRS resources in a CSI RS resource set. The multiple groups of CSI RSresources correspond to hypotheses for single-TRP operation andmulti-TRP operation. In this case, the UE may identify a set of CSI RSresource groups and a set of hypotheses, identify a set of hypothesisgroups based on the set of CSI RS resource groups and the set ofhypotheses, and report a set of CSIs based at least in part on the setof hypothesis groups. In this way, the UE enables dynamic channel and/orinterference hypothesis evaluation for NCJT operation, such as inoperation on frequency band 1 (FR1) and frequency band 2 (FR2).

FIG. 3 is a diagram illustrating an example 300 of resource pair groupsfor CSI in multi-TRP deployments, in accordance with various aspects ofthe present disclosure. As shown in FIG. 3 , example 300 includes a UE120 and one or more TRPs 305 (e.g., which may correspond to BSs 110).For example, UE 120 may communicate with a first TRP 305, a second TRP305, and/or the like.

As further shown in FIG. 3 , and by reference number 310, UE 120 mayidentify resource groups. For example, UE 120 may identify a pluralityof resource groups (e.g., Resource Group 0, Resource Group 1, ResourceGroup N-1, and/or the like) corresponding to a plurality of TRPs 305(e.g., a first TRP 305, a second TRP 305, an nth TRP 305, and/or thelike). Each resource group may have a particular quantity of resourcescorresponding to a particular quantity of TCI states. For example,Resource Group 0 may include a set of M₀ resources, Resource Group 1 mayinclude a set of M₁ resources, and/or the like. In this case, UE 120 mayidentify, for a resource group n corresponding to an nth TRP 305, a setof M_(n) resources corresponding to M_(n) TCI states of the nth TRP 305.In this case, resources may correspond to beams for single TRP-operationor multi-TRP operation (e.g., which may be termed resource pairs).

In some aspects, UE 120 may transmit UE capability signaling identifyinga UE capability associated with the resource groups. For example, UE 120may indicate a maximum quantity of resource groups that are supported, amaximum quantity of resources in a resource group that are supported,and/or the like. In some aspects, UE 120 may group resources based atleast in part on a resource set, and may communicate a CRI to indicateone or more resources or resource pairs.

As further shown in FIG. 3 , and by reference number 315, UE 120 mayidentify hypotheses (e.g., CSI hypotheses) and hypothesis groups. Forexample, UE 120 may identify a set of hypotheses to evaluate to enablesubsequent communication. In this case, the set of hypotheses mayinclude single-TRP hypotheses corresponding to resources, multi-TRPhypotheses corresponding to resource pairs, and/or the like. In someaspects, UE 120 may identify a quantity of hypotheses based at least inpart on an equation:

H=Σ _(n=0) ^(N-1) M _(n)+Σ_(i=0) ^(N-1)Σ_(j=i+1) ^(N-1) M _(i) M_(j)  (1)

where H the total quantity of hypotheses, M_(n) represents a quantity ofresources in resource group n (e.g., single-TRP hypotheses), andM_(i)M_(j) represents a quantity of resource pairs (where first resourceof the pair belong to resource group i and the second resource of theresource pair belong to resource group j) (e.g., multi-TRP hypotheses).

In some aspects, UE 120 may identify a set of K hypothesis groups, forthe hypotheses, where:

Σ_(k=0) ^(K-1) L _(k) =H=Σ _(n=0) ^(N-1) M _(n)+Σ_(i=0) ^(N-1)Σ_(j=i+1)^(N-1) M _(i) M _(j)  (2)

where L_(k) represents a quantity of hypotheses in a kth hypothesisgroup of a set of hypothesis groups. Each hypothesis group may include aset of hypotheses corresponding to the resource groups. In some aspects,UE 120 may transmit UE capability signaling identifying a maximumquantity of hypothesis groups (e.g., active hypothesis groups, asdescribed in more detail herein) and/or a maximum quantity of hypotheses(e.g., active hypotheses) that are supported.

In some aspects, UE 120 may determine a hypothesis group based at leastin part on a resource group. For example, UE 120 may configure a singlehypothesis group and may report a single CSI corresponding to a singlehypothesis for the single hypothesis group. Additionally, oralternatively, UE 120 may configure a pair of hypothesis groups. Forexample, UE 120 may configure a first hypothesis group with L₀hypotheses (corresponding to resources for single-TRP operation) and asecond hypothesis with L₁ hypotheses (corresponding to resource pairsfor multi-TRP operation). The quantity of hypotheses in each hypothesisgroup may be represented as a pair of equations:

L ₀=Σ_(n=0) ^(N-1) M _(n)  (3)

L ₁=Σ_(i=0) ^(N-1)Σ_(j=i+1) ^(N-1) M _(i) M _(j)  (4)

where Σ_(n=0) ^(N-1)M_(n) represents a quantity of resources andM_(i)M_(j) represents a quantity of resource pairs (where first resourceof the pair belong to resource group i and the second resource of theresource pair belong to resource group j) and all such i and j areconsidered for hypotheses in the second hypothesis group. In this case,UE 120 may report a first CSI with a first hypothesis from the firsthypothesis group and a second CSI with a second hypothesis from thesecond hypothesis group. Additionally, or alternatively, UE 120 maydetermine a plurality of hypothesis groups. For example, UE 120 mayidentify N+1 hypothesis groups (K=N+1). In this case, N hypothesisgroups includes hypotheses corresponding to resources (e.g., single-TRPoperation) in each of the N resource groups, and a single hypothesisgroup includes hypotheses corresponding to resource pairs (e.g.,multi-TRP operation). In this case, UE 120 may report N CSIcorresponding to N best (e.g., highest with respect to spectralefficiency) hypotheses from the N hypothesis groups for single-TRPoperations and a single CSI corresponding to a single best hypothesisfrom the single hypothesis group for multi-TRP operations. Similarly, UE120 may identify

$K = {{N + \begin{pmatrix}N \\2\end{pmatrix}} = \frac{N( {N + 1} )}{2}}$

hypothesis groups with N hypothesis groups for resources (e.g.,single-TRP operation) in each of the N resource groups and

$\begin{pmatrix}N \\2\end{pmatrix}$

hypothesis groups tor resource pairs (e.g., multi-TRP operation) in eachof

$\begin{pmatrix}N \\2\end{pmatrix}$

pairs of resource groups.

In some aspects, UE 120 may identify hypothesis groups independent ofthe resource groups. For example, UE 120 may receive radio resourcecontrol (RRC) signaling identifying a set of hypothesis groups and/or anassignment of hypotheses to hypothesis groups. In this case, a singlehypothesis may be assigned to one or more of the hypothesis groups.

In some aspects, UE 120 may determine whether a hypothesis is active.For example, UE 120 may determine that one or more hypotheses areinactive and are not to be evaluated, thereby reducing a processingutilization. In this case, UE 120 may receive information identifying aset of active or inactive hypotheses, and may determine the set ofhypothesis groups based at least in part on the set of active orinactive hypotheses. In some aspects, UE 120 may receive informationindicating that a hypothesis group is inactive. In this case, UE 120 maydetermine that each hypothesis within the hypothesis group is classifiedas inactive. Additionally, or alternatively, UE 120 may receiveinformation indicating that a hypothesis group is active, and maydetermine to evaluate only active hypotheses within the activehypothesis group.

In some aspects, UE 120 may receive a particular type of signaling toidentify active or inactive hypotheses or hypothesis groups. Forexample, UE 120 may receive RRC signaling (e.g., of a CSI reportconfiguration message), medium access control (MAC) control element (CE)signaling, downlink control information (DCI) signaling (e.g., of anaperiodic CSI report), and/or the like. In some aspects, UE 120 mayreceive signaling including a set of identifiers explicitly identifyinga set of activated hypotheses, activated hypothesis groups, inactivehypotheses, inactive hypothesis groups, and/or the like. Additionally,or alternatively, UE 120 may receive signaling including a bitmapindicating whether to classy a hypothesis or hypothesis group as activeor inactive.

As further shown in FIG. 3 , and by reference number 320, UE 120 mayreport one or more CSIs for one or more hypothesis groups. For example,UE 120 may report a CSI for each hypothesis group. In some aspects, UE120 may report a CSI based at least in part on evaluating hypotheses ofeach hypothesis group. For example, UE 120 may identify a hypothesiswith a highest spectral efficiency among hypotheses of a hypothesisgroup and may report the hypothesis in a CSI for the hypothesis group.Additionally, or alternatively, UE 120 may report a plurality ofhypotheses from a hypothesis group. For example, UE 120 may report athreshold quantity of hypotheses with, for example, highest spectralefficiencies within a hypothesis group. In this case, UE 120 mayconfigure the threshold quantity based at least in part on a UEcapability, a type of hypothesis group that is configured, and/or thelike.

In some aspects, UE 120 may provide a CRI in connection with CSIreporting for one or more hypotheses. For example, UE 120 may provide aCRI that uniquely maps to a particular hypothesis. In some aspects, theCRI may be defined implicitly based at least in part on a resource groupand/or hypothesis group. For example, UE 120 may determine the CRI basedat least in part on a hypothesis identifier that is unique to eachpossible hypothesis. Additionally, or alternatively, UE 120 maydetermine the CRI based at least in part on a hypothesis identifier thatis unique to each active hypothesis. Additionally, or alternatively, UE120 may determine the CRI based at least in part on a hypothesis group.For example, within a hypothesis group, hypotheses may have uniqueidentifiers, and the CRI may correspond to a particular hypothesiswithin the hypothesis group. In some aspects, the CRI may be definedexplicitly using signaling. For example, UE 120 may receive RRCsignaling identifying a CRI to hypothesis mapping, a set of hypothesisidentifiers, and/or the like. Additionally, or alternatively, UE 120 mayreceive a MAC CE (e.g., a hypothesis activation or deactivation MAC CE)that defines a CRI to hypothesis mapping.

As indicated above, FIG. 3 is provided as an example. Other examples maydiffer from what is described with respect to FIG. 3 .

FIG. 4 is a diagram illustrating an example process 400 performed, forexample, by a UE, in accordance with various aspects of the presentdisclosure. Example process 400 is an example where the UE (e.g., UE 120and/or the like) performs operations associated with resource pairgroups for CSI in multi-TRP deployments.

As shown in FIG. 4 , in some aspects, process 400 may includeidentifying a plurality of CSI RS resource groups, wherein each CSI RSresource group, of the plurality of CSI RS resource groups, includes oneor more CSI RS resources (block 410). For example, the UE (e.g., usingreceive processor 258, transmit processor 264, controller/processor 280,memory 282, and/or the like) may identify a plurality of CSI RS resourcegroups, as described above. In some aspects, each CSI RS resource group,of the plurality of CSI RS resource groups, includes one or more CSI RSresources.

As further shown in FIG. 4 , in some aspects, process 400 may includeidentifying, based at least in part on the plurality of CSI RS resourcegroups, a plurality of hypotheses (block 420). For example, the UE(e.g., using receive processor 258, transmit processor 264,controller/processor 280, memory 282, and/or the like) may identify,based at least in part on the plurality of CSI RS resource groups, aplurality of hypotheses, as described above.

As further shown in FIG. 4 , in some aspects, process 400 may includeidentifying, based at least in part on the plurality of CSI RS resourcegroups and the plurality of hypotheses, a plurality of hypothesisgroups, wherein each hypothesis group, of the plurality of hypothesisgroups, includes one or more hypotheses from the plurality of hypotheses(block 430). For example, the UE (e.g., using receive processor 258,transmit processor 264, controller/processor 280, memory 282, and/or thelike) may identify, based at least in part on the plurality of CSI RSresource groups and the plurality of hypotheses, a plurality ofhypothesis groups, as described above. In some aspects, each hypothesisgroup, of the plurality of hypothesis groups, includes one or morehypotheses from the plurality of hypotheses.

As further shown in FIG. 4 , in some aspects, process 400 may includereporting, to one or more TRPs in a multi-TRP deployment and for theplurality of hypothesis groups, a corresponding plurality of CSIs,wherein each CSI, of the corresponding plurality of CSIs, corresponds toat least one hypothesis of a respective hypothesis group of theplurality of hypothesis groups (block 440). For example, the UE (e.g.,using receive processor 258, transmit processor 264,controller/processor 280, memory 282, and/or the like) may report, toone or more TRPs in a multi-TRP deployment and for the plurality ofhypothesis groups, a corresponding plurality of CSIs, as describedabove. In some aspects, each CSI, of the corresponding plurality ofCSIs, corresponds to at least one hypothesis of a respective hypothesisgroup of the plurality of hypothesis groups.

Process 400 may include additional aspects, such as any single aspect orany combination of aspects described below and/or in connection with oneor more other processes described elsewhere herein.

In a first aspect, a CSI, of the corresponding plurality of CSIs,identifies a hypothesis, of a corresponding hypothesis group, with ahighest spectral efficiency among one or more hypotheses of thehypothesis group.

In a second aspect, alone or in combination with the first aspect, theat least one hypothesis of the respective hypothesis group is athreshold quantity of hypotheses of the respective hypothesis group, andthe threshold quantity is greater than 1.

In a third aspect, alone or in combination with one or more of the firstand second aspects, the threshold quantity is based at least in part ona UE capability.

In a fourth aspect, alone or in combination with one or more of thefirst through third aspects, a content of the plurality of hypothesisgroups is based at least in part on at least one of a quantity of thehypothesis groups, resources of the plurality of CSI RS resource groups,resource pairs of the plurality of CSI RS resource groups, or a radioresource control signaled configuration.

In a fifth aspect, alone or in combination with one or more of the firstthrough fourth aspects, process 400 includes identifying an activesubset of hypotheses of the plurality of hypotheses and an inactivesubset of hypotheses of the plurality of hypotheses; evaluating theactive subset of hypotheses; and forgoing evaluation of the inactivesubset of hypotheses.

In a sixth aspect, alone or in combination with one or more of the firstthrough fifth aspects, process 400 includes identifying an active subsetof hypothesis groups of the plurality of hypothesis groups and aninactive subset of hypothesis groups of the plurality of hypothesisgroups; and forgoing reporting of one or more CSIs for the inactivesubset of hypothesis groups.

In a seventh aspect, alone or in combination with one or more of thefirst through sixth aspects, process 400 includes determining that anactive hypothesis of the active subset of hypotheses groups belongs toan inactive hypothesis group of the inactive subset of hypothesisgroups; and reclassifying the active hypothesis as an inactivehypothesis.

In an eighth aspect, alone or in combination with one or more of thefirst through seventh aspects, process 400 includes determining that anactive hypothesis group of the active subset of hypothesis groupsincludes at least one inactive hypothesis; and forgoing evaluation ofthe at least one inactive hypothesis; and performing an evaluation of atleast one active hypothesis of the active hypothesis group.

In a ninth aspect, alone or in combination with one or more of the firstthrough eighth aspects, process 400 includes receiving configurationinformation identifying one or more active hypotheses or activehypothesis groups, wherein the configuration information is being atleast one of: a set of hypothesis identifiers, a set of hypothesis groupidentifiers, a bitmap of bits corresponding to a set of hypotheses, or abitmap of bits corresponding to a set of hypothesis groups; andevaluating the one or more active hypotheses or active hypothesis groupsbased at least in part on receiving the configuration information.

In a tenth aspect, alone or in combination with one or more of the firstthrough ninth aspects, the configuration information is conveyed via aradio resource control message, a medium access control (MAC) controlelement (CE), or a downlink control information.

In an eleventh aspect, alone or in combination with one or more of thefirst through tenth aspects, reporting the corresponding plurality ofCSIs includes reporting a CRI identifying a selected hypothesis.

In a twelfth aspect, alone or in combination with one or more of thefirst through eleventh aspects, the CRI is defined based at least inpart on at least one of the plurality of CSI RS resource groups or theplurality of hypothesis groups.

In a thirteenth aspect, alone or in combination with one or more of thefirst through twelfth aspects, the CRI is defined based at least in parton a hypothesis identifier, and wherein the hypothesis identifier isbased at least in part on a sequence of hypotheses, a sequence of activehypotheses, or a sequence of hypotheses within a hypothesis group.

In a fourteenth aspect, alone or in combination with one or more of thefirst through thirteenth aspects, the CRI is defined based at least inpart on received signaling.

In a fifteenth aspect, alone or in combination with one or more of thefirst through fourteenth aspects, the received signaling is radioresource control signaling or medium access control (MAC) controlelement (CE) signaling.

In a sixteenth aspect, alone or in combination with one or more of thefirst through fifteenth aspects, process 400 includes transmitting UEcapability signaling, and wherein the UE capability is signalingincludes information identifying a quantity of CSI RS resource groups, aquantity of resources in a CSI RS resource is group, a quantity ofactive hypotheses, or a quantity of active hypothesis groups.

In a seventeenth aspect, alone or in combination with one or more of thefirst through sixteenth aspects, reporting the corresponding pluralityof CSIs includes reporting a CSI RS resource indicator identifying a setof resources of a plurality of resource sets or a set of resource pairsof the plurality of resource sets.

In an eighteenth aspect, alone or in combination with one or more of thefirst through seventeenth aspects, identifying the plurality ofhypotheses includes identifying a first one or more hypothesescorresponding to one or more CSI RS resources; and identifying a secondone or more hypotheses corresponding to one or more CSI RS resourcepairs for which component CSI RS resources are assigned to different CSIRS resource groups of the plurality of CSI RS resource groups.

Although FIG. 4 shows example blocks of process 400, in some aspects,process 400 may include additional blocks, fewer blocks, differentblocks, or differently arranged blocks than those depicted in FIG. 4 .Additionally, or alternatively, two or more of the blocks of process 400may be performed in parallel.

The foregoing disclosure provides illustration and description, but isnot intended to be exhaustive or to limit the aspects to the preciseform disclosed. Modifications and variations may be made in light of theabove disclosure or may be acquired from practice of the aspects.

As used herein, the term “component” is intended to be broadly construedas hardware, firmware, and/or a combination of hardware and software. Asused herein, a processor is implemented in hardware, firmware, and/or acombination of hardware and software.

As used herein, satisfying a threshold may, depending on the context,refer to a value being greater than the threshold, greater than or equalto the threshold, less than the threshold, less than or equal to thethreshold, equal to the threshold, not equal to the threshold, and/orthe like.

It will be apparent that systems and/or methods described herein may beimplemented in different forms of hardware, firmware, and/or acombination of hardware and software. The actual specialized controlhardware or software code used to implement these systems and/or methodsis not limiting of the aspects. Thus, the operation and behavior of thesystems and/or methods were described herein without reference tospecific software code—it being understood that software and hardwarecan be designed to implement the systems and/or methods based, at leastin part, on the description herein.

Even though particular combinations of features are recited in theclaims and/or disclosed in the specification, these combinations are notintended to limit the disclosure of various aspects. In fact, many ofthese features may be combined in ways not specifically recited in theclaims and/or disclosed in the specification. Although each dependentclaim listed below may directly depend on only one claim, the disclosureof various aspects includes each dependent claim in combination withevery other claim in the claim set. A phrase referring to “at least one”of a list of items refers to any combination of those items, includingsingle members. As an example, “at least one of: a, b, or c” is intendedto cover a, b, c, a-b, a-c, b-c, and a-b-c, as well as any combinationwith multiples of the same element (e.g., a-a, a-a-a, a-a-b, a-a-c,a-b-b, a-c-c, b-b, b-b-b, b-b-c, c-c, and c-c-c or any other ordering ofa, b, and c).

No element, act, or instruction used herein should be construed ascritical or essential unless explicitly described as such. Also, as usedherein, the articles “a” and “an” are intended to include one or moreitems, and may be used interchangeably with “one or more.” Furthermore,as used herein, the terms “set” and “group” are intended to include oneor more items (e.g., related items, unrelated items, a combination ofrelated and unrelated items, and/or the like), and may be usedinterchangeably with “one or more.” Where only one item is intended, thephrase “only one” or similar language is used. Also, as used herein, theterms “has,” “have,” “having,” and/or the like are intended to beopen-ended terms. Further, the phrase “based on” is intended to mean“based, at least in part, on” unless explicitly stated otherwise.

What is claimed is:
 1. A method of wireless communication performed by auser equipment (UE), comprising: identifying a plurality of channelstate information (CSI) reference signal (RS) resource groups, whereineach CSI RS resource group, of the plurality of CSI RS resource groups,includes one or more CSI RS resources; identifying, based at least inpart on the plurality of CSI RS resource groups, a plurality ofhypotheses; identifying, based at least in part on the plurality of CSIRS resource groups and the plurality of hypotheses, a plurality ofhypothesis groups, wherein each hypothesis group, of the plurality ofhypothesis groups, includes one or more hypotheses from the plurality ofhypotheses; and reporting, to one or more transmit receive points (TRPs)in a multi-TRP deployment and for the plurality of hypothesis groups, acorresponding plurality of CSIs, wherein each CSI, of the correspondingplurality of CSIs, corresponds to at least one hypothesis of arespective hypothesis group of the plurality of hypothesis groups. 2.The method of claim 1, wherein a CSI, of the corresponding plurality ofCSIs, identifies a hypothesis, of a corresponding hypothesis group, witha highest spectral efficiency among one or more hypotheses of thehypothesis group.
 3. The method of claim 1, wherein the at least onehypothesis of the respective hypothesis group is a threshold quantity ofhypotheses of the respective hypothesis group, and wherein the thresholdquantity is greater than
 1. 4. The method of claim 3, wherein thethreshold quantity is based at least in part on a UE capability.
 5. Themethod of claim 1, wherein a content of the plurality of hypothesisgroups is based at least in part on at least one of: a quantity of thehypothesis groups, resources of the plurality of CSI RS resource groups,resource pairs of the plurality of CSI RS resource groups, or a radioresource control signaled configuration.
 6. The method of claim 1,further comprising: identifying an active subset of hypotheses of theplurality of hypotheses and an inactive subset of hypotheses of theplurality of hypotheses; evaluating the active subset of hypotheses; andforgoing evaluation of the inactive subset of hypotheses.
 7. The methodof claim 1, further comprising: identifying an active subset ofhypothesis groups of the plurality of hypothesis groups and an inactivesubset of hypothesis groups of the plurality of hypothesis groups; andforgoing reporting of one or more CSIs for the inactive subset ofhypothesis groups.
 8. The method of claim 7, further comprising:determining that an active hypothesis of the active subset of hypothesesbelongs to an inactive hypothesis group of the inactive subset ofhypothesis groups; and reclassifying the active hypothesis as aninactive hypothesis.
 9. The method of claim 7, further comprising:determining that an active hypothesis group of the active subset ofhypothesis groups includes at least one inactive hypothesis; andforgoing evaluation of the at least one inactive hypothesis; andperforming an evaluation of at least one active hypothesis of the activehypothesis group.
 10. The method of claim 1, further comprising:receiving configuration information identifying one or more activehypotheses or active hypothesis groups, wherein the configurationinformation is at least one of: a set of hypothesis identifiers, a setof hypothesis group identifiers, a bitmap of bits corresponding to a setof hypotheses, or a bitmap of bits corresponding to a set of hypothesisgroups; and evaluating the one or more active hypotheses or activehypothesis groups based at least in part on receiving the configurationinformation.
 11. The method of claim 10, wherein the configurationinformation is conveyed via a radio resource control message, a mediumaccess control (MAC) control element (CE), or a downlink controlinformation.
 12. The method of claim 1, wherein reporting thecorresponding plurality of CSIs comprises: reporting a CSI RS resourceindicator (CRI) identifying a selected hypothesis.
 13. The method ofclaim 12, wherein the CRI is defined based at least in part on at leastone of the plurality of CSI RS resource groups or the plurality ofhypothesis groups.
 14. The method of claim 13, wherein the CRI isdefined based at least in part on a hypothesis identifier, and whereinthe hypothesis identifier is based at least in part on: a sequence ofhypotheses, a sequence of active hypotheses, or a sequence of hypotheseswithin a hypothesis group.
 15. The method of claim 12, wherein the CRIis defined based at least in part on received signaling.
 16. The methodof claim 15, wherein the received signaling is radio resource controlsignaling or medium access control (MAC) control element (CE) signaling.17. The method of claim 1, further comprising: transmitting UEcapability signaling, wherein the UE capability signaling includesinformation identifying: a quantity of CSI RS resource groups, aquantity of resources in a CSI RS resource group, a quantity of activehypotheses, or a quantity of active hypothesis groups.
 18. The method ofclaim 1, wherein reporting the corresponding plurality of CSIscomprises: reporting a CSI RS resource indicator identifying a set ofresources of a plurality of resource sets or a set of resource pairs ofthe plurality of resource sets.
 19. The method of claim 1, whereinidentifying the plurality of hypotheses comprises: identifying a firstone or more hypotheses corresponding to one or more CSI RS resources;and identifying a second one or more hypotheses corresponding to one ormore CSI RS resource pairs for which component CSI RS resources areassigned to different CSI RS resource groups of the plurality of CSI RSresource groups.
 20. A user equipment (UE) for wireless communication,comprising: a memory; and one or more processors operatively coupled tothe memory, the memory and the one or more processors configured to:identify a plurality of channel state information (CSI) reference signal(RS) resource groups, wherein each CSI RS resource group, of theplurality of CSI RS resource groups, includes one or more CSI RSresources; identify, based at least in part on the plurality of CSI RSresource groups, a plurality of hypotheses; identify, based at least inpart on the plurality of CSI RS resource groups and the plurality ofhypotheses, a plurality of hypothesis groups, wherein each hypothesisgroup, of the plurality of hypothesis groups, includes one or morehypotheses from the plurality of hypotheses; and report, to one or moretransmit receive points (TRPs) in a multi-TRP deployment and for theplurality of hypothesis groups, a corresponding plurality of CSIs,wherein each CSI, of the corresponding plurality of CSIs, corresponds toat least one hypothesis of a respective hypothesis group of theplurality of hypothesis groups.
 21. The UE of claim 20, wherein a CSI,of the corresponding plurality of CSIs, identifies a hypothesis, of acorresponding hypothesis group, with a highest spectral efficiency amongone or more hypotheses of the hypothesis group.
 22. The UE of claim 20,wherein the at least one hypothesis of the respective hypothesis groupis a threshold quantity of hypotheses of the respective hypothesisgroup, and wherein the threshold quantity is greater than
 1. 23. The UEof claim 22, wherein the threshold quantity is based at least in part ona UE capability.
 24. The UE of claim 20, wherein a content of theplurality of hypothesis groups is based at least in part on at least oneof: a quantity of the hypothesis groups, resources of the plurality ofCSI RS resource groups, resource pairs of the plurality of CSI RSresource groups, or a radio resource control signaled configuration. 25.A non-transitory computer-readable medium storing one or moreinstructions for wireless communication, the one or more instructionscomprising: one or more instructions that, when executed by one or moreprocessors of a user equipment (UE), cause the one or more processorsto: identify a plurality of channel state information (CSI) referencesignal (RS) resource groups, wherein each CSI RS resource group, of theplurality of CSI RS resource groups, includes one or more CSI RSresources; identify, based at least in part on the plurality of CSI RSresource groups, a plurality of hypotheses; identify, based at least inpart on the plurality of CSI RS resource groups and the plurality ofhypotheses, a plurality of hypothesis groups, wherein each hypothesisgroup, of the plurality of hypothesis groups, includes one or morehypotheses from the plurality of hypotheses; and report, to one or moretransmit receive points (TRPs) in a multi-TRP deployment and for theplurality of hypothesis groups, a corresponding plurality of CSIs,wherein each CSI, of the corresponding plurality of CSIs, corresponds toat least one hypothesis of a respective hypothesis group of theplurality of hypothesis groups.
 26. The non-transitory computer-readablemedium of claim 25, wherein a CSI, of the corresponding plurality ofCSIs, identifies a hypothesis, of a corresponding hypothesis group, witha highest spectral efficiency among one or more hypotheses of thehypothesis group.
 27. The non-transitory computer-readable medium ofclaim 25, wherein the at least one hypothesis of the respectivehypothesis group is a threshold quantity of hypotheses of the respectivehypothesis group, and wherein the threshold quantity is greater than 1.28. The non-transitory computer-readable medium of claim 27, wherein thethreshold quantity is based at least in part on a UE capability.
 29. Thenon-transitory computer-readable medium of claim 25, wherein a contentof the plurality of hypothesis groups is based at least in part on atleast one of: a quantity of the hypothesis groups, resources of theplurality of CSI RS resource groups, resource pairs of the plurality ofCSI RS resource groups, or a radio resource control signaledconfiguration.
 30. An apparatus for wireless communication, comprising:means for identifying a plurality of channel state information (CSI)reference signal (RS) resource groups, wherein each CSI RS resourcegroup, of the plurality of CSI RS resource groups, includes one or moreCSI RS resources; means for identifying, based at least in part on theplurality of CSI RS resource groups, a plurality of hypotheses; meansfor identifying, based at least in part on the plurality of CSI RSresource groups and the plurality of hypotheses, a plurality ofhypothesis groups, wherein each hypothesis group, of the plurality ofhypothesis groups, includes one or more hypotheses from the plurality ofhypotheses; and means for reporting, to one or more transmit receivepoints (TRPs) in a multi-TRP deployment and for the plurality ofhypothesis groups, a corresponding plurality of CSIs, wherein each CSI,of the corresponding plurality of CSIs, corresponds to at least onehypothesis of a respective hypothesis group of the plurality ofhypothesis groups.